Mbotwa, JL, de Kamps, M orcid.org/0000-0001-7162-4425, Baxter, PD orcid.org/0000-0003-2699-3103 et al. (2 more authors) (2018) Latent Class Regression Modelling: A novel approach to predict survival of patients with Chronic Heart Failure. In: Journal of Epidemiology and Community Health. Society for Social Medicine 62nd Annual Scientific Meeting, 05-07 Sep 2018 BMJ Publishing Group , A67-A68.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an author produced version of a paper published in Journal of Epidemiology and Community Health. Reuse of this manuscript version (excluding any databases, tables, diagrams, photographs and other images or illustrative material included where a another copyright owner is identified) is permitted strictly pursuant to the terms of the Creative Commons Attribution-Non-Commercial 4.0 International (CC-BY-NC 4.0) - https://creativecommons.org/licenses/by-nc/4.0/. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Discovery & Translational Science Dept (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Specialist Science Education Dept (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Jan 2019 12:35 |
Last Modified: | 12 Feb 2019 12:00 |
Status: | Published |
Publisher: | BMJ Publishing Group |
Identification Number: | 10.1136/jech-2018-SSMabstracts.141 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140984 |